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Subjective and generic distance in ViewpointS: an experiment on WordNet

Surroca Guillaume, Lemoisson Philippe, Jonquet Clément, Cerri Stefano A.. 2016. Subjective and generic distance in ViewpointS: an experiment on WordNet. In : Proceedings of the 6th International Conference on Web Intelligence, Mining and Semantics. Akerkar Rajendra (ed.), Plantié Michel (ed.), Ranwez Sylvie (ed.), Harispe Sébastein (ed.), Laurent Anne (ed.), Bellot Patrice (ed.), Montmain Jacky (ed.), Trousset François (ed.). Ecole des mines Alès. New York : ACM, 6 p. ISBN 978-1-4503-4056-4 International Conference on Web Intelligence, Mining and Semantics (WIMS 2016). 6, Nîmes, France, 13 September 2016/15 September 2016.

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Abstract : ViewpointS enables representation and storage of individual viewpoints in a shared knowledge graph. Knowledge providers (i.e., agents) express their individual opinions by emitting viewpoints on the semantic similarity or proximity between resources of the knowledge graph which can either be agents, documents (i.e., knowledge supports) or concepts (i.e., descriptors). We first briefly recall the ViewpointSknowledge representation formalism and discuss the genericity it enablesin terms of semantic distance computation.In this paper, we benchmark the ViewpointSapproach againstother classic semantic distances(graph based or information content based) on a WordNet experiment. Our goal is to demonstrate the value of keeping the subjectivity of the represented knowledge, while having a generic approach that can handle any kind of knowledge and compute similarity between any kindsof objects. (Résumé d'auteur)

Mots-clés libres : Subjective knowledge representation, Knowledge graphs, Semantic distances, Semantic similarity, WordNet

Classification Agris : C30 - Documentation and information
U30 - Research methods
U10 - Computer science, mathematics and statistics
000 - Other themes

Auteurs et affiliations

  • Surroca Guillaume, LIRMM (FRA)
  • Lemoisson Philippe, CIRAD-ES-UMR TETIS (FRA)
  • Jonquet Clément, LIRMM (FRA)
  • Cerri Stefano A., LIRMM (FRA)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/582644/)

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